Identification of Outcome Predictors and Stratification of Responder Profiles Implanted With Spinal Cord Stimulation. An AI-based-pathway & Algorithmic Approach to Treat Failed Back Surgery Syndrome Patients
Identification of Outcome Predictors and Stratification of Responder Profiles Implanted With Spinal Cord Stimulation. An AI-based-pathway & Algorithmic Approach to Treat Failed Back Surgery Syndrome Patients
Failed Back Surgery Syndrome is commonly defined as new, recurrent, or persistent pain in the back and/or leg(s) of at least 6-month duration following spinal surgery. The literature estimates that 10-50% of patients undergoing spinal surgery are likely to develop such pain, representing a substantial financial burden. Among them, 5-10% would suffer from severe pain, which are intense, neuropathic and generally refractory to conventional therapeutic strategies considerably affect patients' functional capacity as well as their psychological and social well-being.
Spinal Cord Stimulation (SCS) is a well-established therapy to alleviate severe intractable neuropathic pain such as FBSS. SCS is a safe and reversible treatment option, which leads to improvement in pain relief and quality of life for patients with FBSS. Despite encouraging results in a chronic painful patient population that is refractory to conventional therapies, the literature estimates that only 58% [53% - 64%] of patients implanted with SCS devices achieved adequate pain relief.
FBSS population characterization and stratification and predictive modeling of SCS outcome are thus crucial to delineate future treatment options and to deliver neuromodulation therapy to the right patient.
The investigators designed a clinical prospective project based on SCS outcome optimization and SCS candidates' stratification: PREDIBACK 2.
This study would be a following part of a continuous project (PREDIBACK) that aims to better understand and stratify the therapies (drugs, surgery, psychological therapy or SCS) proposed to FBSS patients. The goal of PREDIBACK 1 was to develop a decision tool that simplifies the therapeutic decision process.
PREDIBACK 2 will focus on the neuromodulation pathway. Easing and helping patient orientation should improve referral yielding to specialists and accelerate patient flow through care pathway. Hence, facilitating access to adequate therapies for FBSS patients who usually have a longstanding history of pain.
Selection Criteria:
Non-inclusion Criteria:
Subject is or has been treated with SCS, subcutaneous or peripheral nerve stimulation, an intrathecal drug delivery system, requires back surgery at the localization related to his/her original back pain complaint or experimental therapies.
Subject low back pain is coming from a non-FBSS etiology (i.e. cancerous pain, infectious disease, etc.).
Cause of low back pain accessible to etiological "mechanical" surgical treatment (discogenic low back pain, vertebral instability, spinal deformity, etc.).
Subject had most recent back surgery less than 6 months ago.
Simultaneous participation to any interventional study during the study
Subject requiring closer protection, i.e. minors, pregnant women, nursing mothers, subjects deprived of their freedom by a court or administrative decision, subjects admitted to a health or social welfare establishment, major subjects under legal protection, and finally patient in an emergency setting.